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The consultants at EC Integrators have first hand experience in the many stages of development of multiple data warehousing and business intelligence projects across several industries. Based on this extensive experience, we are able to recommend solutions into moving onto the next generation business analytics platform.

Data Science, Machine Learning (ML) and Artificial Intelligence (AI) are connected with key differences. Data science focuses on managing, processing, and interpreting big data to effectively inform decision-making.  ML leverages algorithms to analyse data, learn from it, and forecast trends. AI requires a continuous feed of data to learn and improve decision-making.

Data Automation is defined as the process of uploading, handling, and processing data using automated technologies rather than conducting these processes manually. Data Automation replaces manual labour with computers and procedures that do the work for you.

Data engineering is designing and building pipelines that transform and transport data into a format that make it possible for Data Scientists and end users to make sense of the huge amounts of data available to them.

Enterprise Data Management (EDM), if effectively implemented, delivers a highly-prized single view of data. At EC Integrators, our decades of expertise in the industry have helped our Data Management consultants understand the various steps and complexities of an EDM implementation and the means by which you optimise this journey.

Data Governance is defined by the Data Governance Institute as “a system of decision rights and accountabilities for information related processes, executed according to agreed upon models that describe who can take what actions with what information (data), and when, under what circumstances, using what methods”.

Data Strategy and Architecture go hand-in-hand.  Data Strategy provides the overall vision and framework for data-centric capabilities and activities. Whilst Data Architecture, on the other hand, defines how data is acquired, stored, processed, distributed, and consumed.